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Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
16 references·0 citing·30 second hop
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence (2023)Minimax AUC Fairness: Efficient Algorithm…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Bias Mitigation Post-processing for Individual and Group Fairness (2019)Bias Mitigation Post-processi…Measuring and Mitigating Unintended Bias in Text Classification (2018)Measuring and Mitigating Unin…Empirical Risk Minimization under Fairness Constraints (2018)Empirical Risk Minimization u…A Reductions Approach to Fair Classification (2018)A Reductions Approach to Fair…Optimized Pre-Processing for Discrimination Prevention (2017)Optimized Pre-Processing for …On Fairness and Calibration (2017)On Fairness and CalibrationFairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016)Fairness Beyond Disparate Tre…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Fairness through awareness (2012)Fairness through awarenessOnline AUC Maximization (2011)Online AUC MaximizationFairness-aware Learning through Regularization Approach (2011)Fairness-aware Learning throu…The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Justice as Fairness: A Restatement (2002)Justice as Fairness: A Restat…Uniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Discrimination-aware data mining (2008)Three naive Bayes approaches for discrimination-free classification (2010)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness in Machine Learning: Lessons from Political Philosophy (2017)Fairness of Exposure in Rankings (2018)Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019)Economic Commission for Africa (2009)On the people's terms: a republican theory and model of democracy (2013)Distributive justice and equity in transportation (2016)Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Data and its (dis)contents: A survey of dataset development and use in machine learning research (2020)Fairness in Machine Learning: A Survey (2023)Learning Adversarially Fair and Transferable Representations (2018)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias (2018)The Measure and Mismeasure of Fairness (2018)
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References

  • 2002Justice as Fairness: A Restatement3,570 cited
  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2018Measuring and Mitigating Unintended Bias in Text Classification668 cited
  • 2016Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment559 cited
  • 2017On Fairness and Calibration509 cited
  • 2017Optimized Pre-Processing for Discrimination Prevention459 cited
  • 2011Fairness-aware Learning through Regularization Approach375 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons369 cited
  • 2018A Reductions Approach to Fair Classification364 cited
  • 2020A snapshot of the frontiers of fairness in machine learning355 cited
  • 2011Online AUC Maximization183 cited
  • 2018Empirical Risk Minimization under Fairness Constraints157 cited
  • 2019

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Bias Mitigation Post-processing for Individual and Group Fairness
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